Update app.py

app.py

@@ -9,7 +9,7 @@ from langchain.chains import ConversationalRetrievalChain
 from langchain.memory import ConversationBufferMemory
 from langchain_openai import ChatOpenAI
 from langchain_experimental.text_splitter import SemanticChunker
-import os
+
 openai_api_key = "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"
 
 def extract_text_from_pdf(pdf_file):
@@ -27,7 +27,6 @@ def clean_text(text):
     cleaned_text = re.sub(r'\b(\w+)\b(?:\s+\1\b)+', r'\1', cleaned_text)
     return cleaned_text.strip()
 
-
 def initialize_chatbot(cleaned_text, openai_api_key):
     embeddings = OpenAIEmbeddings(api_key=openai_api_key)
     text_splitter = SemanticChunker(embeddings)
@@ -49,20 +48,28 @@ def answer_query(pdf_file, question):
 
 def process_pdf_and_question(pdf_file, question, chat_history):
     if pdf_file is None:
-        return chat_history + [("Please upload a PDF file.", "")]
+        chat_history.append(("System", "Please upload a PDF file."))
+        return chat_history
     if not question.strip():
-        return chat_history + [("Please enter a question.", "")]
-    
+        chat_history.append(("System", "Please enter a question."))
+        return chat_history
+
     answer = answer_query(pdf_file, question)
     chat_history.append((question, answer))
     return chat_history
 
 with gr.Blocks() as demo:
+    chat_history = gr.State([])
 
     upload = gr.File(label="Upload PDF")
     chatbot = gr.Chatbot(label="Chat History")
-    question = gr.Textbox(label="Ask a question")
-    question.submit(process_pdf_and_question, inputs=[upload, question, chatbot], outputs=[chatbot])
+    question = gr.Textbox(label="Ask a question", placeholder="Type your question and hit Enter")
+
+    question.submit(
+        fn=process_pdf_and_question,
+        inputs=[upload, question, chat_history],
+        outputs=[chatbot],
+    )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()